Climate Smart Agriculture : : Building Resilience to Climate Change.

• Superior document: Natural Resource Management and Policy Series ; v.52
• Author: Lipper, Leslie.
• TeilnehmendeR: McCarthy, Nancy.; Zilberman, David.; Asfaw, Solomon.; Branca, Giacomo.
• Place / Publishing House: Cham : : Springer International Publishing AG,, 2017.; ©2018.
• Year of Publication: 2017
• Edition: 1st ed.
• Language: English
• Series: Natural Resource Management and Policy Series
• Physical Description: 1 online resource (629 pages)

Table of Contents

• Intro
• Foreword
• Acknowledgments
• Contents
• Contributors
• Part I: Overview and Conceptual Framework
• Introduction and Overview
• 1 Overview of the Book
• 1.1 Part I. Conceptual Chapters
• 1.2 Part II. Country Case Studies
• 1.2.1 Vulnerability Measurement and Assessment
• 1.2.2 Policy Response to Improving Adaptation and Adaptive Capacity
• 1.2.3 System Level Response to Improving Adaptation and Adaptive Capacity
• 1.2.4 Farm Level Response to Improving Adaptation and Adaptive Capacity
• 1.3 Part III. Policy Synthesis and Conclusion
• A Short History of the Evolution of the Climate Smart Agriculture Approach and Its Links to Climate Change and Sustainable Agriculture Debates
• 1 Introduction
• 1.1 The Evolution of Climate Change Policy
• 2 Overview of CSA
• 3 Key Features and Evolution of the CSA Concept
• 4 CSA Controversies in the Broader Policy Context
• 4.1 The Role of Mitigation and Carbon Finance in CSA
• 5 CSA and Sustainable Agriculture
• 6 Conclusion
• References
• Economics of Climate Smart Agriculture: An Overview
• 1 Introduction
• 2 CSA: The Objectives of the Social Planner
• 3 The Constraints Facing the Social Planner
• 4 The Social Planner's Choice Set
• 5 Towards a Socially Optimal Solution: Expected Features of Model Outcomes
• 6 Concluding Comments
• References
• Innovation in Response to Climate Change
• 1 Introduction
• 2 The Impact of Climate Change on Agriculture and the Implications
• 2.1 Rising Temperatures and Migrating Weather
• 2.2 Rising Sea Levels
• 2.3 Increased Snowmelt and Timing of Irrigation
• 2.4 Increased Probability of Extreme Events
• 2.5 Discussion
• 3 Innovations for Climate Smart Agriculture
• 3.1 Technological Innovations
• 3.1.1 Micro, Farm-Level Approaches
• 3.1.2 Farm System Approaches
• 3.2 Managerial Innovations
• 3.2.1 Micro, Farm-Level Approaches.
• 3.2.2 Farm System Approaches
• 3.3 Institutional Innovations
• 3.3.1 Innovations as Part of CSA Programs
• 3.3.2 Institutions for Enhancing Various Adaptation Strategies
• 4 Overcoming Barriers to Innovation in the Era of Climate Change
• 4.1 Research and Refinement
• 4.2 Commercialization/Adoption
• 4.3 Discussion
• 5 Conclusion
• References
• Part II: Case Studies: Vulnerability Measurements and Assessment
• Use of Satellite Information on Wetness and Temperature for Crop Yield Prediction and River Resource Planning
• 1 Introduction
• 2 Methodology
• 3 Application
• 3.1 Monitoring Crop Yield
• 3.2 Monitoring River Flow
• 3.3 River Basin Management: The Case of the Mekong
• 3.3.1 Description of the Model
• 3.3.2 Applying the BWI to the Mekong Economic Model
• 3.3.3 Results of the Economic Model
• 4 Concluding Discussion
• References
• Early Warning Techniques for Local Climate Resilience: Smallholder Rice in Lao PDR
• 1 Introduction
• 2 Background
• 2.1 Overview of Climate Conditions
• 2.2 Extreme Events
• 2.3 Rice Production
• 2.3.1 Production Systems
• 2.3.2 Irrigation
• 2.4 The Physiological Relationship Between Rice and Weather Inputs
• 2.4.1 The Role of Water
• 2.4.2 The Role of Temperature
• 3 Analysis I: Estimating the Relationship Between Rice and Climate Change
• 3.1 Methods
• 3.1.1 Average Weather Models
• Equation 1: Panel Model of Average Weather Effects
• Equation 2: Panel Model of Average Weather Effects
• 3.1.2 Modeling Extreme Events
• Equation 3: Panel Model of Extreme Event Effects
• 3.2 Data
• 3.2.1 Rice Yields
• 3.2.2 Weather Conditions
• 3.2.3 Extreme Events
• 3.2.4 Data Limitations
• 3.3 Results
• 3.3.1 Evaluating the Model
• 4 Analysis II: Projecting Future Rice Production Under Climate Change
• 4.1 Climate Projections
• 4.1.1 Selecting GCM Models
• 4.1.2 Downscaling Methods.
• 4.1.3 Climate Projections for Lao PDR
• 4.2 Yield Projections
• 4.2.1 Methods
• 4.2.2 Results
• 5 Summary and Outlook
• 6 Conclusions and Extensions
• Appendix - Rice Yield Regression Model Results (Figs. 6, 7, 8, and 9)
• References
• Farmers' Perceptions of and Adaptations to Climate Change in Southeast Asia: The Case Study from Thailand and Vietnam
• 1 Introduction
• 2 Theoretical Background
• 3 Study Regions and Data
• 4 Empirical Strategy
• 5 Descriptive Results
• 6 Results of Econometric Analysis
• 7 Summary and Conclusions
• References
• U.S. Maize Yield Growth and Countervailing Climate Change Impacts
• 1 Introduction
• 2 Data Sources and Summary Statistics
• 3 Crop Yield Model and Climate Change Impacts
• 4 Results and Discussion
• 4.1 Model Results and Warming Impacts
• 4.2 Warming Impacts Against Technological Progress
• 5 Conclusion
• References
• Understanding Tradeoffs in the Context of Farm-Scale Impacts: An Application of Decision-Support Tools for Assessing Climate Smart Agriculture
• 1 Introduction
• 2 AgBiz Logic as a Decision Support Tool for Addressing CSA
• 3 Addressing the Farm-Scale Tradeoffs Associated with Changes in Climate
• 3.1 Initial Setup and Baseline Scenario
• 3.2 Exploring Climate Change Impacts and Investments in Alternative Cropping Systems
• 3.3 Profitability of Implementing Investment Strategies
• 3.4 Assessing Climate Change Implications for Agricultural Leases
• 4 Assessing Environmental Impacts
• 5 Toward Landscape-Scale Tradeoff Analysis: Linking to the TOA-MD Platform
• 6 Data Requirements for the TOA-MD Model and How It Links to Farm-Scale Decision Support Tools
• 7 Conclusions
• Appendix A: How AgBiz Logic Works and Its Web-Based Presence
• References
• Part III: Case Studies: Policy Response to Improving Adaptation and Adaptive Capacity.
• Can Insurance Help Manage Climate Risk and Food Insecurity? Evidence from the Pastoral Regions of East Africa
• 1 The Logic of Insurance as a Device to Mitigate the Impacts of Climate Change on Food Insecurity
• 1.1 Theoretical Model of the Ex Post and Ex Ante Impacts of Insurance on Poverty
• 1.2 Analysis of Climate Change Scenarios
• 2 Index Insurance as a Solution: Livestock Insurance in the Pastoral Regions of East Africa
• 2.1 Designing the IBLI Index Insurance Contract
• 2.2 Impacts of the IBLI Contract on Ex Post Coping and Ex Ante Investment
• 3 Limitations to Index Insurance as a Solution for Climate Change and Food Insecurity
• 3.1 The Quality Challenge to Index Insurance
• 3.2 IBLI's Quality Effort and Remaining Weaknesses
• 3.3 The Way Forward
• 4 Conclusions
• References
• Can Cash Transfer Programmes Promote Household Resilience? Cross-Country Evidence from Sub-Saharan Africa
• 1 Introduction
• 2 Overview of selected SCT Programmes in SSA
• 3 Role of Cash Transfer for Building Resilience: Review of Selected Evidence
• 4 Methodology
• 4.1 Programme Evaluation Design and Data
• 4.2 Analytical Methods
• 5 Results and Discussion
• 5.1 Can Cash Transfer Promote Ex-Post Risk Management?
• 5.2 Can Cash Transfer Contribute to Managing Climate Risk?
• 5.3 Potential of Cash Transfer to Promote Ex-Ante Risk Management
• 5.3.1 Impacts on Accumulation of Productive Assets
• 5.3.2 Impacts on Crop Production and Productivity
• 5.3.3 Impacts on Non-farm Enterprises
• 5.4 Can Cash Transfer Promote Resilience by Enhancing Food Security?
• 5.4.1 Impact on Food Security
• 5.4.2 Impact on Consumption Expenditure
• 5.4.3 Impact on Dietary Diversity
• 6 Conclusions and Implications
• References
• Input Subsidy Programs and Climate Smart Agriculture: Current Realities and Future Potential
• 1 Introduction.
• 2 Defining Climate Smart Agriculture
• 3 ISP Implementation Modalities and CSA in Africa
• 4 Can ISPs Promote Household-Level Ex Ante Risk Management?
• 4.1 Review of Evidence to Date
• 4.2 Looking Forward: Can ISPs Contribute to Climate Smart Farm Management Practices?
• 4.3 How Confident Are We That We Know Which Farming Practices Contribute to CSA and SI?
• 5 Can ISPs Promote System-Wide Ex Ante Risk Management?
• 5.1 Potential Opportunities
• 5.2 Potential Challenges
• 6 Can ISPs Promote Household-Level Ex Post Coping Mechanisms?
• 7 Can ISPs Promote System-Wide Ex Post Coping Potential?
• 8 Summary and Implications for ISPs
• 8.1 Unresolved Issues for Future Research
• 8.2 Concluding Remarks
• Appendix 1: Estimating the Contribution of Increased Fertilizer Use to Greenhouse Gas Emissions
• References
• Part IV: Case Studies: System Level Response to Improving Adaptation and Adaptive Capacity
• Robust Decision Making for a Climate-Resilient Development of the Agricultural Sector in Nigeria
• 1 Introduction
• 2 Methodological Approach
• 2.1 Climate Projections and Their Uncertainty
• 2.2 Crop Modeling: Impacts on Yields
• 2.3 Hydrological Modeling: Impacts on Water Availability
• 2.4 Macro-economic Analysis
• 2.5 Adaptation Strategies in Agriculture
• 2.6 Costs of Adaptation Options
• 2.7 RDMA for Irrigation Infrastructures
• 3 Results and Discussion
• 3.1 Climate Projections and Their Uncertainty
• 3.2 Impact Analysis on Crop Yields
• 3.3 Water Availability Impact Analysis
• 3.4 Macro-economic Impacts
• 3.5 Adaptation Options in the Agriculture and Water Sectors
• 3.5.1 Adaptation Through Sustainable Land Management Practices
• 3.5.2 Costs of Adaptation
• 3.5.3 Robust Decision Making Approach for Irrigation Infrastructure
• 4 Conclusions and Recommendations
• References.
• Using AgMIP Regional Integrated Assessment Methods to Evaluate Vulnerability, Resilience and Adaptive Capacity for Climate Smart Agricultural Systems.